Data

We integrate data from various sources and link them in our knowledge graph:

COVID-19 Open Research Dataset (CORD-19)

In response to the COVID-19 pandemic, the Allen Institute for AI has partnered with leading research groups to prepare and distribute the COVID-19 Open Research Dataset (CORD-19), a free resource of over 44,000 scholarly articles, including over 29,000 with full text, about COVID-19 and the coronavirus family of viruses for use by the global research community.https://pages.semanticscholar.org/coronavirus-research

The Lens COVID-19 Datasets

The Lens has assembled free and open datasets of patent documents, scholarly research works metadata and biological sequences from patents, and deposited them in a machine-readable and explorable form.https://about.lens.org/covid-19/

NCBI Gene Database

Gene integrates information from a wide range of species. A record may include nomenclature, Reference Sequences (RefSeqs), maps, pathways, variations, phenotypes, and links to genome-, phenotype-, and locus-specific resources worldwide.https://www.ncbi.nlm.nih.gov/gene

The Gene Ontology Resource

The Gene Ontology (GO) knowledgebase is the world’s largest source of information on the functions of genes. This knowledge is both human-readable and machine-readable, and is a foundation for computational analysis of large-scale molecular biology and genetics experiments in biomedical research.http://geneontology.org

Experimental data from clinical studies and molecular genetics

This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL).https://github.com/CSSEGISandData/COVID-19

United Nations World Population Prospects 2019

The 2019 Revision of World Population Prospects is the twenty-sixth round of official United Nations population estimates and projections that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat.https://population.un.org/wpp/

Use Cases

Scientists around the world have been given the task to work on covid19. Many publications around the virus have been published in the past months, but relevant work around the family of coronaviruses already existed before covid 19 appeared.

We would like to help researchers and scientists to quickly and efficiently find their way through the more than 40.000 existing publications. We provide them with tools that use artificial intelligence, advanced visualization techniques, and intuitive user interfaces to explore papers and patents around the family of the corona viruses, existing treatments and medications.